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Stock Recruitment Fitting Model

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Stock Recruitment Fitting Model


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Version 7.0.1 (March 2010)

Research Model


The Stock Recruitment Fitting Model (SRFIT) performs MSY reference points calculations. The model can be used to fit Beverton-Holt or Ricker curves to time series of stock recruitment data assuming either uncorrelated or serially-correlated errors. Informative or uninformative prior distributions for stock-recruitment curves may also be specified. Life history and fishery parameters are used to calculate yield and spawning biomass per recruit based on standard algorithms.


A standard Sissenwine-Shepherd analysis is applied to compute MSY reference points conditioned on model configuration. Markov Chain Monte Carlo simulation is used to characterize posterior distributions of MSY reference points.


Bayesian and Aikaike information criterion are computed for selection among alternative models or for model-averaging across a set of credible models. 


The calculation engine was written in AD Model Builder by Dr. Jon Brodziak of the NMFS Pacific Islands Science Center and Dr. Christopher Legault of the NMFS Northeast Fisheries Science Center.


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Version History


SRFIT Version 7.0.1  (March 2010)

  • New graphical interface  (Visual Studio 2008)

  • New calculation engine

  • New optional input - specify Baysesian prior value on Ricker beta parameter 

  • New inputs -  Specify Natural Mortality at Age

  • New Input Specify Maximum Fishing Mortality for Sissenwine-Shepherd analysis

  • Change in the parameterization of the Ricker equation

SRFIT Version 6.1 (April 2007)

  • Includes a new grid editing tool with easier data entry and copy/paste abilities. 

  • Ability to save files with spaces in the file name, and use spaces in folder names.

  • Upgraded version of the plotting package.


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